AI Engineer l (Generative AI)

Our AI Engineers are responsible for designing, developing, and deploying advanced Generative AI solutions to support innovative product capabilities across MyAdvice. This role focuses on building scalable AI systems, including LLM-powered pipelines, AI agents, and retrieval-augmented generation (RAG) solutions. You’ll work closely with cross-functional teams to turn business problems into intelligent, automated, and reliable AI-powered experiences.
The ideal candidate is deeply hands-on with modern LLM ecosystems, can work with frameworks like LangChain and vector databases, and has experience fine-tuning and optimising foundation models, including GPT, LLaMA, Gemini and similar architectures. This position requires a strong grasp of Python, cloud platforms, MLOps processes, and production deployment standards.
If you are passionate about Generative AI, constantly tinkering with new techniques, love solving complex problems, and want to build real-world AI systems at scale, you’ll thrive in this position!

Essential Duties

• Design, build, and deploy Generative AI applications, including chat systems, AI agents, automated workflows, and intelligent content pipelines.
• Develop and maintain RAG (retrieval-augmented generation) architectures using vector stores (e.g., Pinecone, FAISS, Weaviate).
• Fine-tune and evaluate large language models (LLMs), including GPT models, LLaMA, Gemini, and other modern architectures.
• Implement prompt engineering strategies, prompt templates, and reusable frameworks to enhance model reliability and output quality.
• Design, create, and maintain reusable AI skills, system rules, guardrails, and workflow instructions to standardize AI behavior, improve reliability, and support scalable automation across internal and client-facing AI systems.
• Build end-to-end production-ready AI pipelines including data ingestion, preprocessing, training, evaluation, and continuous monitoring.
• Develop tools and internal frameworks that accelerate model experimentation, evaluation, and deployment.
• Integrate AI solutions into existing MyAdvice systems through REST APIs, microservices, or application middleware.
• Collaborate with engineering, product, and client success teams to identify opportunities for automation and AI-powered enhancements.
• Apply software engineering best practices including version control, code reviews, CI/CD, and automated testing for ML systems.
• Stay current with rapid advances in AI, LLMs, multimodal models, embeddings, and MLOps technologies; propose improvements and new capabilities.
• Provide technical guidance, documentation, and internal knowledge sharing related to Generative AI frameworks and production workflows.

Required Skills + Experience
Core Technical Skills

• Strong proficiency in Python (must).
• Solid understanding of data structures, algorithms, and software design principles.
• Experience with transformer-based LLMs and modern AI frameworks.
• Hands-on with LangChain, LlamaIndex, HuggingFace Transformers, or equivalent.
• Experience building RAG pipelines, embedding models, and vector database integrations.
• Familiarity with AI agent frameworks and multi-step generative workflows.
• Hands-on experience creating AI skills, reusable system instructions, agent rules, guardrails, and workflow-specific prompts to control and improve LLM behavior.

Cloud, DevOps & MLOps

• Experience deploying ML systems on AWS / GCP.
• Proficiency with containerization: Docker, Kubernetes.
• Understanding of distributed computing, model hosting, and serverless deployments.
• Experience with MLOps tooling: MLflow, Weights & Biases, Sagemaker, Vertex AI, etc.
• Familiarity with CI/CD pipelines, Git workflows, and testing automation for ML.

Model & Pipeline Development

• Experience working with GPT, LLaMA, Claude, Gemini or similar LLMs.
• Knowledge of embeddings, tokenization, prompt engineering, and model optimization.
• Experience building or contributing to production-grade AI pipelines.

General Skills

• Excellent written and verbal communication skills with high professionalism.
• Strong attention to detail, critical thinking, and problem-solving ability.
• Ability to manage multiple priorities and communicate progress effectively.
• Demonstrated curiosity, adaptability, and willingness to learn cutting-edge AI innovations.

Qualifications

• 1–3 years of experience in AI/ML engineering, software engineering, or a related field.
• Bachelor’s degree in Computer Science, Engineering, AI/ML, or related field preferred.
• Prior experience deploying AI solutions in a production or enterprise environment.
• Legally authorized to work in India.
• High-speed internet to support remote work.

Position Details

• Base Salary: ₹12-15 LPA, based on experience and qualifications.
• Position Type: Full-time, Salaried
• Schedule: Monday-Friday, 11.00pm to 8:00pm IST
• Work Locations: This position is fully remote to start, but there is the chance this position will be called back to the office in Bangalore. We will prioritize candidates that are located in Bangalore or willing to relocate there.
• Travel: May require occasional local or national travel (less than 5% of the time, if at all).
• Physical Requirements: Prolonged periods sitting at a desk and working on a computer (90% at desk, 10% of time walking); Ability to lift up to 30 lbs and use typical office equipment (computers, keyboards, printer, etc.).

Benefits

• Employer-contributed medical insurance (100% premium covered by the company)
• Provident Fund (PF) contributions as per policy
• Leave policy: 12 Sick/Casual Leaves + 18 Annual Leaves + 10 Company Holidays
• Remote-first Company, Flexible Schedules + Early Out Fridays!
• Employee Assistance Program (EAP): free mental health support, financial/legal consultations, and more
• Tuition Reimbursement Program (up to ₹1 lakh annually) + Executive Mentorship Program
• Leadership Training Program: learn the fundamentals of leading a team (available to all employees)
• Ongoing personalized coaching and career development support
• Casual / Business Casual dress code and a fun work environment (games, coffee, snacks, etc.)
• Core value initiatives: “Pay It Forward,” Project Fantastic (client collaboration), and more!

MyAdvice

"We will chase perfection, and we will chase it relentlessly, knowing all the while we can never attain it. But along the way, we shall catch excellence.” - Vince Lombardi

MyAdvice empowers business owners and professionals to increase their revenue by attracting and retaining more clients through digital marketing. The SaaS-based platform enables hands-on control and visibility into performance of online marketing activities, backed by 20+ years of best practices and expertise on how to maximize those efforts. MyAdvice’s six-stage Pyramid of Success™ provides a proven step-by-step plan for how and when to implement growth-oriented marketing tactics for greatest impact, including website design and maintenance, local directories, client reviews, social media, search engine optimization (SEO) and paid advertising. Learn more at .

We are committed to diversity and inclusion as we understand and value its importance to our success. Our team thrives upon our employee's unique experiences to propel creative solutions, so we aspire to continue building upon our diverse team to include groups that are traditionally underrepresented. Additionally, studies have shown that minorities are less likely to apply for a position if they don't meet every qualification. MyAdvice prioritizes a strong company culture fit and believes in providing opportunities to individuals with exceptional work ethic. Skills can be taught. With that in mind, if you believe yourself to be a good fit, we strongly encourage people of all backgrounds to apply.

MyAdvice is a performance based and data driven company that has experienced tremendous growth within the last year, so we're excited for the opportunity to introduce new talent. MyAdvice’s progressive values include transparency, teamwork, relentless effort and intellectual honesty in order to bring about the success of our clients. We encourage continuous education, career development and work/life balance while thriving in a casual and collaborative work environment. With MyAdvice you will be a valued and integral member whom we will continually invest.

Originally posted on Himalayas